- Machine learning and motion-tracking markers demonstrated potential for autism diagnosis.
- Motor abnormalities in early childhood could be potential targets for early autism diagnosis.
- The study suggested using kinematic features for early autism detection.
- The research achieved high classification accuracy.
- Motor-based diagnostic tools could provide an objective, accessible, and noninvasive method for identifying autism.
Source: Autism Research
